title: D-MSR: a distributed network management scheme for real-time monitoring and process control applications in wireless industrial automation.
abstract: Current wireless technologies for industrial applications, such as WirelessHART and ISA100.11a, use a centralized management approach where a central network manager handles the requirements of the static network. However, such a centralized approach has several drawbacks. For example, it cannot cope with dynamicity/disturbance in large-scale networks in a real-time manner and it incurs a high communication overhead and latency for exchanging management traffic. In this paper, we therefore propose a distributed network management scheme, D-MSR. It enables the network devices to join the network, schedule their communications, establish end-to-end connections by reserving the communication resources for addressing real-time requirements, and cope with network dynamicity (e.g., node/edge failures) in a distributed manner. According to our knowledge, this is the first distributed management scheme based on IEEE 802.15.4e standard, which guides the nodes in different phases from joining until publishing their sensor data in the network. We demonstrate via simulation that D-MSR can address real-time and reliable communication as well as the high throughput requirements of industrial automation wireless networks, while also achieving higher efficiency in network management than WirelessHART, in terms of delay and overhead.
authors.affiliation: Pervasive Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, Enschede 7500AE, The Netherlands. p.zand@utwente.nl
authors.forename: Pouria
authors.initials: P
authors.lastname: Zand
authors.forename: Arta
authors.initials: A
authors.lastname: Dilo
authors.forename: Paul
authors.initials: P
authors.lastname: Havinga
mesh_terms: D003195:Computer Communication Networks / Q000295:instrumentation*; D003199:Computer Systems; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D007221:Industry / Q000295:instrumentation* / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation*